Method and apparatus for impairment correlation estimation in MIMO systems
First Claim
1. A method of estimating impairment correlations in a receiver comprising:
- representing a plurality of impairment contributors in a generalized expression for impairment correlations;
identifying which fitting parameters in a parametric model of impairment correlations having individual fitting parameters corresponding to the plurality of impairment contributors are of interest in estimating impairment correlations for a received communication signal by determining which impairment contributors are non-negligible based on direct or indirect knowledge of a transmit signal structure used in transmission of the received communication signal; and
estimating impairment correlations for the received communication signal based on the identified impairment contributors.
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Abstract
The teachings herein disclose methods and apparatus that simplify impairment correlation estimation for received signal processing, based on determining, for any given processing interval, which impairment contributors should be considered in the estimation of overall received signal impairment correlations. These simplifications reduce computational processing requirements, allowing reduced circuit complexity and/or reduced operating power, and improve receiver performance. A corresponding transmitter and transmission method include transmitting multiple information streams to targeted receivers according to ongoing scheduling, and controlling the ongoing scheduling to reduce the number of impairment contributors considered in impairment correlation estimation at the targeted receivers. In one embodiment, a receiver identifies which impairment contributors to consider based on receiving control information. In another embodiment, the receiver identifies the impairment contributors to consider based on background processing, e.g., background determination of parametric model fitting parameters for a plurality of impairment contributors, and observing those model fitting parameters over time.
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Citations
45 Claims
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1. A method of estimating impairment correlations in a receiver comprising:
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representing a plurality of impairment contributors in a generalized expression for impairment correlations; identifying which fitting parameters in a parametric model of impairment correlations having individual fitting parameters corresponding to the plurality of impairment contributors are of interest in estimating impairment correlations for a received communication signal by determining which impairment contributors are non-negligible based on direct or indirect knowledge of a transmit signal structure used in transmission of the received communication signal; and estimating impairment correlations for the received communication signal based on the identified impairment contributors. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A receiver circuit for estimating impairment correlations in a receiver comprising one or more processing circuits configured to:
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represent a plurality of impairment contributors in a generalized expression for impairment correlations; identify which fitting parameters in a parametric model of impairment correlations having individual fitting parameters corresponding to the plurality of impairment contributors are of interest in estimating impairment correlations for a received communication signal by determining which impairment contributors are non-negligible based on direct or indirect knowledge of a transmit signal structure used in transmission of the received communication signal; and estimate impairment correlations for the received communication signal based on the identified impairment contributors. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. A method of estimating impairment correlations in a receiver for a received communication signal, the method comprising:
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representing a plurality of impairment contributors in a generalized expression comprising a parametric model having model fitting parameters corresponding to plurality impairment contributors; dynamically identifying which impairment contributors in the plurality of impairment contributors that are of interest based on inferred or direct knowledge of interference conditions by calculating the model fitting parameters individually or in related subgroups over one or more background processing intervals, based on fitting corresponding model terms in the parametric model to measured impairment correlations and observing the model fitting parameters over the one or more background processing intervals to identify non-negligible ones of the impairment contributors; and estimating impairment correlations for the received communication signal by fitting model terms in the parametric model corresponding to the impairment contributors that are of interest to currently measured impairment correlations. - View Dependent Claims (41, 42, 43, 44, 45)
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Specification